- Convolutional Neural Networks
- Machine Learning
- Applied Machine Learning
- Transfer Learning
- Computer Vision
- Model Evaluation
- Tensorflow
- Deep Learning
- Data Preprocessing
- Classification Algorithms
- Keras (Neural Network Library)
- Image Analysis
Convolutional Neural Networks in TensorFlow
Completed by Shahrzad Fereidani
May 7, 2021
16 hours (approximately)
Shahrzad Fereidani's account is verified. Coursera certifies their successful completion of Convolutional Neural Networks in TensorFlow
What you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
